demand

---

Demand UGens

DUGen	Abstract base class of demand-rate UGens.
Dbrown	A demand-rate brownian movement generator.
Dbufrd	A buffer-reading demand-rate UGen.
Dbufwr	A buffer-writing demand-rate UGen.
Dgeom	A demand-rate geometric series generator.
Dibrown	An integer demand-rate brownian movement generator.
Diwhite	An integer demand-rate white noise random generator.
Drand	A demand-rate random sequence generator.
Dreset	Resets demand-rate UGens.
Dseq	A demand-rate sequence generator.
Dser	A demand-rate sequence generator.
Dseries	A demand-rate arithmetic series.
Dshuf	A demand-rate random sequence generator.
Dstutter	A demand-rate input replicator.
Dswitch	A demand-rate generator for embedding different inputs.
Dswitch1	A demand-rate generator for switching between inputs.
Dunique	Returns the same unique series of values for several demand streams.
Dwhite	A demand-rate white noise random generator.
Dwrand	A demand-rate weighted random sequence generator.
Dxrand	A demand-rate random sequence generator.

class supriya.ugens.demand.DUGen(**kwargs)

Abstract base class of demand-rate UGens.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dbrown(calculation_rate=None, minimum=0.0, maximum=1.0, step=0.01, length=inf)

A demand-rate brownian movement generator.

>>> dbrown = supriya.ugens.Dbrown.new(
...     length=float("inf"), maximum=1, minimum=0, step=0.01,
... )
>>> dbrown
Dbrown()

---

Attributes Summary

length	Gets length of Dbrown.
maximum	Gets maximum of Dbrown.
minimum	Gets minimum of Dbrown.
new	Constructs a demand-rate Dbrown unit generator graph.
step	Gets step of Dbrown.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(minimum=0.0, maximum=1.0, step=0.01, length=inf)

Constructs a demand-rate Dbrown unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Dbrown.

Returns input.

overridden maximum

Gets maximum of Dbrown.

Returns input.

overridden minimum

Gets minimum of Dbrown.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

step

Gets step of Dbrown.

Returns input.

class supriya.ugens.demand.Dbufrd(calculation_rate=None, buffer_id=0, phase=0, loop=1)

A buffer-reading demand-rate UGen.

>>> dbufrd = supriya.ugens.Dbufrd(buffer_id=0, loop=1, phase=0,)
>>> dbufrd
Dbufrd()

---

Attributes Summary

buffer_id	Gets buffer_id of Dbufrd.
loop	Gets loop of Dbufrd.
new	Constructs a demand-rate Dbufrd unit generator graph.
phase	Gets phase of Dbufrd.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(buffer_id=0, phase=0, loop=1)

Constructs a demand-rate Dbufrd unit generator graph.

Returns unit generator graph.

---

Read-only properties

buffer_id

Gets buffer_id of Dbufrd.

Returns input.

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

loop

Gets loop of Dbufrd.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

phase

Gets phase of Dbufrd.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dbufwr(calculation_rate=None, source=0.0, buffer_id=0.0, phase=0.0, loop=1.0)

A buffer-writing demand-rate UGen.

>>> dbufwr = supriya.ugens.Dbufwr(buffer_id=0, source=0, loop=1, phase=0,)
>>> dbufwr
Dbufwr()

---

Attributes Summary

buffer_id	Gets buffer_id of Dbufwr.
loop	Gets loop of Dbufwr.
new	Constructs a demand-rate Dbufwr unit generator graph.
phase	Gets phase of Dbufwr.
source	Gets source of Dbufwr.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(source=0.0, buffer_id=0.0, phase=0.0, loop=1.0)

Constructs a demand-rate Dbufwr unit generator graph.

Returns unit generator graph.

---

Read-only properties

buffer_id

Gets buffer_id of Dbufwr.

Returns input.

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

loop

Gets loop of Dbufwr.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

phase

Gets phase of Dbufwr.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

source

Gets source of Dbufwr.

Returns input.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dgeom(calculation_rate=None, start=1, grow=2, length=inf)

A demand-rate geometric series generator.

>>> dgeom = supriya.ugens.Dgeom.new(grow=2, length=float("inf"), start=1,)
>>> dgeom
Dgeom()

---

Attributes Summary

grow	Gets grow of Dgeom.
length	Gets length of Dgeom.
new	Constructs a demand-rate Dgeom unit generator graph.
start	Gets start of Dgeom.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(start=1, grow=2, length=inf)

Constructs a demand-rate Dgeom unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

grow

Gets grow of Dgeom.

Returns input.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Dgeom.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

start

Gets start of Dgeom.

Returns input.

class supriya.ugens.demand.Dibrown(calculation_rate=None, minimum=0, maximum=12, step=1, length=inf)

An integer demand-rate brownian movement generator.

>>> dibrown = supriya.ugens.Dibrown.new(
...     length=float("inf"), maximum=1, minimum=0, step=0.01,
... )
>>> dibrown
Dibrown()

---

Attributes Summary

length	Gets length of Dibrown.
maximum	Gets maximum of Dibrown.
minimum	Gets minimum of Dibrown.
new	Constructs a demand-rate Dibrown unit generator graph.
step	Gets step of Dibrown.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(minimum=0, maximum=12, step=1, length=inf)

Constructs a demand-rate Dibrown unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Dibrown.

Returns input.

overridden maximum

Gets maximum of Dibrown.

Returns input.

overridden minimum

Gets minimum of Dibrown.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

step

Gets step of Dibrown.

Returns input.

class supriya.ugens.demand.Diwhite(calculation_rate=None, minimum=0, maximum=1, length=inf)

An integer demand-rate white noise random generator.

>>> diwhite = supriya.ugens.Diwhite.new(length=float("inf"), maximum=1, minimum=0,)
>>> diwhite
Diwhite()

---

Attributes Summary

length	Gets length of Diwhite.
maximum	Gets maximum of Diwhite.
minimum	Gets minimum of Diwhite.
new	Constructs a demand-rate Diwhite unit generator graph.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(minimum=0, maximum=1, length=inf)

Constructs a demand-rate Diwhite unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Diwhite.

Returns input.

overridden maximum

Gets maximum of Diwhite.

Returns input.

overridden minimum

Gets minimum of Diwhite.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Drand(calculation_rate=None, repeats=1, sequence=None)

A demand-rate random sequence generator.

>>> sequence = (1, 2, 3)
>>> drand = supriya.ugens.Drand.new(repeats=1, sequence=sequence,)
>>> drand
Drand()

---

Attributes Summary

new	Constructs a demand-rate Drand unit generator graph.
repeats	Gets repeats of Drand.
sequence	Gets sequence of Drand.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(repeats=1, sequence=None)

Constructs a demand-rate Drand unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

repeats

Gets repeats of Drand.

Returns input.

sequence

Gets sequence of Drand.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dreset(calculation_rate=None, source=None, reset=0)

Resets demand-rate UGens.

>>> source = supriya.ugens.Dseries(start=0, step=2)
>>> dreset = supriya.ugens.Dreset(reset=0, source=source,)
>>> dreset
Dreset()

---

Attributes Summary

new	Constructs a demand-rate Dreset unit generator graph.
reset	Gets reset of Dreset.
source	Gets source of Dreset.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(source=None, reset=0)

Constructs a demand-rate Dreset unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

reset

Gets reset of Dreset.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

source

Gets source of Dreset.

Returns input.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dseq(calculation_rate=None, repeats=1, sequence=None)

A demand-rate sequence generator.

>>> sequence = (1, 2, 3)
>>> dseq = supriya.ugens.Dseq.new(repeats=1, sequence=sequence,)
>>> dseq
Dseq()

---

Attributes Summary

new	Constructs a demand-rate Dseq unit generator graph.
repeats	Gets repeats of Dseq.
sequence	Gets sequence of Dseq.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(repeats=1, sequence=None)

Constructs a demand-rate Dseq unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

repeats

Gets repeats of Dseq.

Returns input.

sequence

Gets sequence of Dseq.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dser(calculation_rate=None, repeats=1, sequence=None)

A demand-rate sequence generator.

>>> sequence = (1, 2, 3)
>>> dser = supriya.ugens.Dser.new(repeats=1, sequence=sequence,)
>>> dser
Dser()

---

Attributes Summary

new	Constructs a demand-rate Dser unit generator graph.
repeats	Gets repeats of Dser.
sequence	Gets sequence of Dser.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(repeats=1, sequence=None)

Constructs a demand-rate Dser unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

repeats

Gets repeats of Dser.

Returns input.

sequence

Gets sequence of Dser.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dseries(calculation_rate=None, length=inf, start=1, step=1)

A demand-rate arithmetic series.

>>> dseries = supriya.ugens.Dseries.new(length=float("inf"), start=1, step=1,)
>>> dseries
Dseries()

---

Attributes Summary

length	Gets length of Dseries.
new	Constructs a demand-rate Dseries unit generator graph.
start	Gets start of Dseries.
step	Gets step of Dseries.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(start=1, step=1, length=inf)

Constructs a demand-rate Dseries unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Dseries.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

start

Gets start of Dseries.

Returns input.

step

Gets step of Dseries.

Returns input.

class supriya.ugens.demand.Dshuf(calculation_rate=None, repeats=1, sequence=None)

A demand-rate random sequence generator.

>>> sequence = (1, 2, 3)
>>> dshuf = supriya.ugens.Dshuf.new(repeats=1, sequence=sequence,)
>>> dshuf
Dshuf()

---

Attributes Summary

new	Constructs a demand-rate Dshuf unit generator graph.
repeats	Gets repeats of Dshuf.
sequence	Gets sequence of Dshuf.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(repeats=1, sequence=None)

Constructs a demand-rate Dshuf unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

repeats

Gets repeats of Dshuf.

Returns input.

sequence

Gets sequence of Dshuf.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dstutter(calculation_rate=None, n=2.0, source=None)

A demand-rate input replicator.

>>> source = supriya.ugens.In.ar(bus=0)
>>> dstutter = supriya.ugens.Dstutter.new(n=2, source=source,)
>>> dstutter
Dstutter()

---

Attributes Summary

n	Gets n of Dstutter.
new	Constructs a demand-rate Dstutter unit generator graph.
source	Gets source of Dstutter.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(n=2.0, source=None)

Constructs a demand-rate Dstutter unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

n

Gets n of Dstutter.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

source

Gets source of Dstutter.

Returns input.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dswitch(calculation_rate=None, index=None, sequence=None)

A demand-rate generator for embedding different inputs.

>>> index = supriya.ugens.Dseq(sequence=[0, 1, 2, 1, 0])
>>> sequence = (1.0, 2.0, 3.0)
>>> dswitch = supriya.ugens.Dswitch.new(index=index, sequence=sequence,)
>>> dswitch
Dswitch()

---

Attributes Summary

index	Gets index of Dswitch.
new	Constructs a demand-rate Dswitch unit generator graph.
sequence	Gets sequence of Dswitch.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(index=None, sequence=None)

Constructs a demand-rate Dswitch unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

index

Gets index of Dswitch.

Returns input.

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

sequence

Gets sequence of Dswitch.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dswitch1(calculation_rate=None, index=None, sequence=None)

A demand-rate generator for switching between inputs.

>>> index = supriya.ugens.Dseq(sequence=[0, 1, 2, 1, 0])
>>> sequence = (1.0, 2.0, 3.0)
>>> dswitch_1 = supriya.ugens.Dswitch1.new(index=index, sequence=sequence,)
>>> dswitch_1
Dswitch1()

---

Attributes Summary

index	Gets index of Dswitch1.
new	Constructs a demand-rate Dswitch1 unit generator graph.
sequence	Gets sequence of Dswitch1.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(index=None, sequence=None)

Constructs a demand-rate Dswitch1 unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

index

Gets index of Dswitch1.

Returns input.

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

sequence

Gets sequence of Dswitch1.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dunique(calculation_rate=None, source=None, max_buffer_size=1024, protected=True)

Returns the same unique series of values for several demand streams.

>>> source = supriya.ugens.In.ar(bus=0)
>>> dunique = supriya.ugens.Dunique.new(
...     max_buffer_size=1024, protected=True, source=source,
... )
>>> dunique
Dunique()

---

Attributes Summary

max_buffer_size	Gets max_buffer_size of Dunique.
new	Constructs a demand-rate Dunique unit generator graph.
protected	Gets protected of Dunique.
source	Gets source of Dunique.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(source=None, max_buffer_size=1024, protected=True)

Constructs a demand-rate Dunique unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

max_buffer_size

Gets max_buffer_size of Dunique.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

protected

Gets protected of Dunique.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

source

Gets source of Dunique.

Returns input.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dwhite(calculation_rate=None, minimum=0.0, maximum=1.0, length=inf)

A demand-rate white noise random generator.

>>> dwhite = supriya.ugens.Dwhite.new(length=float("inf"), maximum=1, minimum=0,)
>>> dwhite
Dwhite()

---

Attributes Summary

length	Gets length of Dwhite.
maximum	Gets maximum of Dwhite.
minimum	Gets minimum of Dwhite.
new	Constructs a demand-rate Dwhite unit generator graph.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(minimum=0.0, maximum=1.0, length=inf)

Constructs a demand-rate Dwhite unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Dwhite.

Returns input.

overridden maximum

Gets maximum of Dwhite.

Returns input.

overridden minimum

Gets minimum of Dwhite.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

class supriya.ugens.demand.Dwrand(repeats=1, sequence=None, weights=None, **kwargs)

A demand-rate weighted random sequence generator.

>>> sequence = [0, 1, 2, 7]
>>> weights = [0.4, 0.4, 0.1, 0.1]
>>> dwrand = supriya.ugens.Dwrand.new(
...     repeats=1, sequence=sequence, weights=weights,
... )
>>> dwrand
Dwrand()

---

Attributes Summary

length	Gets length of Dwrand.
new	Constructs a demand-rate Dwrand unit generator graph.
repeats	Gets repeats of Dwrand.
sequence	Gets sequence of Dwrand.
weights	Gets weights of Dwrand.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(repeats=1, length=None, weights=None, sequence=None)

Constructs a demand-rate Dwrand unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

length

Gets length of Dwrand.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

repeats

Gets repeats of Dwrand.

Returns input.

sequence

Gets sequence of Dwrand.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

weights

Gets weights of Dwrand.

Returns input.

class supriya.ugens.demand.Dxrand(calculation_rate=None, repeats=1, sequence=None)

A demand-rate random sequence generator.

>>> sequence = (1, 2, 3)
>>> dxrand = supriya.ugens.Dxrand.new(repeats=1, sequence=sequence,)
>>> dxrand
Dxrand()

---

Attributes Summary

new	Constructs a demand-rate Dxrand unit generator graph.
repeats	Gets repeats of Dxrand.
sequence	Gets sequence of Dxrand.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod new(repeats=1, sequence=None)

Constructs a demand-rate Dxrand unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

repeats

Gets repeats of Dxrand.

Returns input.

sequence

Gets sequence of Dxrand.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

---

SynthDef Internals

Demand	Demands results from demand-rate UGens.
DemandEnvGen	A demand rate envelope generator.
Duty	A value is demanded of each UGen in the list and output according to a stream of duration values.

class supriya.ugens.demand.Demand(calculation_rate=None, trigger=None, reset=None, source=None)

Demands results from demand-rate UGens.

>>> source = [
...     supriya.ugens.Dseries(),
...     supriya.ugens.Dwhite(),
... ]
>>> trigger = supriya.ugens.Impulse.kr(1)
>>> demand = supriya.ugens.Demand.ar(reset=0, source=source, trigger=trigger,)
>>> demand
UGenArray({2})

---

Attributes Summary

ar	Constructs a audio-rate Demand unit generator graph.
kr	Constructs a control-rate Demand unit generator graph.
reset	Gets reset of Demand.
source	Gets source of Demand.
trigger	Gets trigger of Demand.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(MultiOutUGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod ar(trigger=0, reset=0, source=None)

Constructs a audio-rate Demand unit generator graph.

Returns unit generator graph.

classmethod kr(trigger=0, reset=0, source=None)

Constructs a control-rate Demand unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

(MultiOutUGen).channel_count

Gets channel count of multi-output ugen.

Returns integer.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

reset

Gets reset of Demand.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

source

Gets source of Demand.

Returns input.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

trigger

Gets trigger of Demand.

Returns input.

class supriya.ugens.demand.DemandEnvGen(calculation_rate=None, level=None, duration=None, shape=1, curve=0, gate=1, reset=1, level_scale=1, level_bias=0, time_scale=1, done_action=0)

A demand rate envelope generator.

>>> demand_env_gen = supriya.ugens.DemandEnvGen.ar(
...     curve=0,
...     done_action=0,
...     duration=1,
...     gate=1,
...     level=1,
...     level_bias=0,
...     level_scale=1,
...     reset=1,
...     shape=1,
...     time_scale=1,
... )
>>> demand_env_gen
DemandEnvGen.ar()

---

Attributes Summary

ar	Constructs a audio-rate DemandEnvGen unit generator graph.
curve	Gets curve of DemandEnvGen.
done_action	Gets done_action of DemandEnvGen.
duration	Gets duration of DemandEnvGen.
gate	Gets gate of DemandEnvGen.
kr	Constructs a control-rate DemandEnvGen unit generator graph.
level	Gets level of DemandEnvGen.
level_bias	Gets level_bias of DemandEnvGen.
level_scale	Gets level_scale of DemandEnvGen.
reset	Gets reset of DemandEnvGen.
shape	Gets shape of DemandEnvGen.
time_scale	Gets time_scale of DemandEnvGen.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod ar(level=None, duration=None, shape=1, curve=0, gate=1, reset=1, level_scale=1, level_bias=0, time_scale=1, done_action=0)

Constructs a audio-rate DemandEnvGen unit generator graph.

Returns unit generator graph.

classmethod kr(level=None, duration=None, shape=1, curve=0, gate=1, reset=1, level_scale=1, level_bias=0, time_scale=1, done_action=0)

Constructs a control-rate DemandEnvGen unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

curve

Gets curve of DemandEnvGen.

Returns input.

done_action

Gets done_action of DemandEnvGen.

Returns input.

duration

Gets duration of DemandEnvGen.

Returns input.

gate

Gets gate of DemandEnvGen.

Returns input.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

level

Gets level of DemandEnvGen.

Returns input.

level_bias

Gets level_bias of DemandEnvGen.

Returns input.

level_scale

Gets level_scale of DemandEnvGen.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

reset

Gets reset of DemandEnvGen.

Returns input.

shape

Gets shape of DemandEnvGen.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.

time_scale

Gets time_scale of DemandEnvGen.

Returns input.

class supriya.ugens.demand.Duty(calculation_rate=None, duration=1.0, reset=0.0, level=1.0, done_action=0.0)

A value is demanded of each UGen in the list and output according to a stream of duration values.

>>> duty = supriya.ugens.Duty.kr(
...     done_action=0,
...     duration=supriya.ugens.Drand(sequence=[0.01, 0.2, 0.4], repeats=2,),
...     reset=0,
...     level=supriya.ugens.Dseq(
...         sequence=[204, 400, 201, 502, 300, 200], repeats=2,
...     ),
... )
>>> duty
Duty.kr()

---

Attributes Summary

ar	Constructs a audio-rate Duty unit generator graph.
done_action	Gets done_action of Duty.
duration	Gets duration of Duty.
kr	Constructs a control-rate Duty unit generator graph.
level	Gets level of Duty.
reset	Gets reset of Duty.

---

Special methods

(UGenMethodMixin).__abs__()

Gets absolute value of ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = abs(ugen_graph)
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f21696d155a2686700992f0e9a04a79c
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = abs(ugen_graph)
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1d45df2f3d33d1b0641d2c464498f6c4
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(ABSOLUTE_VALUE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__add__(expr)

Adds expr to ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6bf4339326d015532b7604cd7af9ad3b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph + expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f4a3c1ed35cc5f6fe66b70a3bc520b10
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph + expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f79088cc154ef2b65c72a0f8de8336ce
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(ADDITION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__div__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__ge__(expr)

Tests if ugen graph if greater than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9db96233abf1f610d027ff285691482d
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph >= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6d43342b3787aa11a46cea54412407e1
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph >= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: b06931195bab8e6f6ca2e3a857e71a95
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__getitem__(i)

Gets output proxy at index i.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen[0]
SinOsc.ar()[0]

Returns output proxy.

(UGenMethodMixin).__graph__()

Gets Graphviz representation of ugen graph.

Returns GraphvizGraph instance.

(UGenMethodMixin).__gt__(expr)

Tests if ugen graph if greater than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 01bebf935112af62ffdd282a99581904
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph > expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 55642179864ad927e9d5cf6358367677
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(GREATER_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph > expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5177e03443ad31ee2664aae2201fb979
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(GREATER_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__le__(expr)

Tests if ugen graph if less than or equal to expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fefc06cbbc3babb35046306c6d41e3c5
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph <= expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 53f29d793fd676fbca1d541e938b66ca
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph <= expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3cf0414af96d130edf2e1b839f73036c
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN_OR_EQUAL).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGen).__len__()

Gets number of ugen outputs.

Returns integer.

(UGenMethodMixin).__lt__(expr)

Tests if ugen graph if less than expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 844f34c0ffb28ecc24bd5cf0bae20b43
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph < expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 14c1494fe4e153e690a8ef0a42e5834f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(LESS_THAN).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph < expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e87d41791847aa80d8a3e56318e506e4
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(LESS_THAN).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mod__(expr)

Gets modulo of ugen graph and expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4a06e157474f8d1ae213916f3cf585a
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph % expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 90badce1cf8fc1752b5eb99b29122a14
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MODULO).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph % expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bfa60877061daf112516cc3ec8c7ff69
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MODULO).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__mul__(expr)

Multiplies ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ea2b5e5cec4e2d5a1bef0a8dda522bd3
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph * expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9d353c198344b6be3635244197bc2a4b
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph * expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1735acd4add428d8ab317d00236b0fe7
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__neg__()

Negates ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = -ugen_graph
>>> result
UnaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a987a13f0593e4e4e070acffb11d5c3e
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(NEGATIVE).ar:
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=(440, 442, 443),)
>>> result = -ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e5dfc1d4ecb11ed8170aaf11469a6443
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/0:
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/1:
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   UnaryOpUGen(NEGATIVE).ar/2:
            source: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__pow__(expr)

Raises ugen graph to the power of expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 3498b370c0575fb2c2ed45143ba2da4f
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph ** expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04e78034682f9ffd6628fbfd09a28c13
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph ** expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 50b8e3b154bc85c98d76ced493a32731
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(POWER).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__radd__(expr)

Adds ugen graph to expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr + ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: bb0592fad58b0bfa1a403c7ff6a400f3
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr + ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0ad0a3d4b7ddf8bb56807813efc62202
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(ADDITION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rdiv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGen).__repr__()

Gets interpreter representation of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> repr(ugen)
'SinOsc.ar()'

>>> ugen = supriya.ugens.WhiteNoise.kr()
>>> repr(ugen)
'WhiteNoise.kr()'

>>> ugen = supriya.ugens.Rand.ir()
>>> repr(ugen)
'Rand.ir()'

Returns string.

(UGenMethodMixin).__rmod__(expr)

Gets modulo of expr and ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr % ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr % ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rmul__(expr)

Multiplies expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr * ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f60bbe0480298a7ae8b54de5a4c0260f
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr * ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0295153106bff55a2bf6db3b7184d301
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(MULTIPLICATION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rpow__(expr)

Raises expr to the power of ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr ** ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c450618c9e0fe5213629275da4e5e354
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr ** ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a614dc68313ee7ca2677e63fd499de0d
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(POWER).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rsub__(expr)

Subtracts ugen graph from expr.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr - ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 74e331121aa41f4d49a6d38a38ca4a9a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr - ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 1ca2e8f3f541b9365413a0dbf9028e95
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__rtruediv__(expr)

Divides expr by ugen graph.

Example 1:

>>> expr = 1.5
>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> result = expr / ugen_graph
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d79490206a430281b186b188d617f679
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: 1.5
            right: SinOsc.ar[0]

Example 2:

>>> expr = [220, 330]
>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = expr / ugen_graph
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: d71b3081490f800d5136c87f5fef46d1
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: 220.0
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: 330.0
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: 220.0
            right: SinOsc.ar/2[0]

Returns ugen graph.

(UGenMethodMixin).__str__()

Gets string representation of ugen graph.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> print(str(ugen_graph))
synthdef:
    name: c9b0ed62d4e0666b74166ff5ec09abe4
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[1, 2, 3])
>>> print(str(ugen_graph))
synthdef:
    name: 4015dac116b25c54b4a6f02bcb5859cb
    ugens:
    -   SinOsc.ar/0:
            frequency: 1.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 2.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 3.0
            phase: 0.0

Returns string.

(UGenMethodMixin).__sub__(expr)

Subtracts expr from ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: cd62fff8ff3ad7758d0f7ad82f39c7ce
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph - expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 9a8355f84507908cadf3cc63187ddab4
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(SUBTRACTION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph - expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 48ca704043ed00a2b6a55fd4b6b72cf1
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(SUBTRACTION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

(UGenMethodMixin).__truediv__(expr)

Divides ugen graph by expr.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar()
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6da024a346859242c441fe03326d2adc
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.WhiteNoise.kr()
>>> expr = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph / expr
>>> result
UGenArray({3})

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: be20d589dfccb721f56da8b002d86763
    ugens:
    -   WhiteNoise.kr: null
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/0:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/1:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   BinaryOpUGen(FLOAT_DIVISION).ar/2:
            left: WhiteNoise.kr[0]
            right: SinOsc.ar/2[0]

Example 3:

>>> ugen_graph = supriya.ugens.Dust.ar(density=11.5,)
>>> expr = 4
>>> result = ugen_graph / expr
>>> result
BinaryOpUGen.ar()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 672765c596fcaa083186b2f2b996ba1d
    ugens:
    -   Dust.ar:
            density: 11.5
    -   BinaryOpUGen(FLOAT_DIVISION).ar:
            left: Dust.ar[0]
            right: 4.0

Returns ugen graph.

---

Methods

(UGenMethodMixin).absolute_difference(expr)

Calculates absolute difference between ugen graph and expr.

>>> ugen_graph = supriya.ugens.SinOsc.ar()
>>> expr = supriya.ugens.WhiteNoise.kr()
>>> result = ugen_graph.absolute_difference(expr)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a6b274b5f30e1dfa86ac1d00ef1c169b
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(ABSOLUTE_DIFFERENCE).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).amplitude_to_db()

Converts ugen graph from amplitude to decibels.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.amplitude_to_db()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 73daa5fd8db0d28c03c3872c845fd3ed
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(AMPLITUDE_TO_DB).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).as_int()

(UGenMethodMixin).ceiling()

Calculates the ceiling of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.ceiling()
>>> print(operation)
synthdef:
    name: c7b1855219f3364f731bdd2e4599b1d1
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CEILING).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).clip(minimum, maximum)

Clips ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e710843b0e0fbc5e6185afc6cdf90149
    ugens:
    -   WhiteNoise.ar: null
    -   Clip.ar:
            maximum: 0.25
            minimum: -0.25
            source: WhiteNoise.ar[0]

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.clip(-0.25, 0.25)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 000e997ea0d7e8637c9f9040547baa50
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Clip.ar/0:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Clip.ar/1:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Clip.ar/2:
            maximum: 0.25
            minimum: -0.25
            source: SinOsc.ar/2[0]

(UGenMethodMixin).cubed()

Calculates the cube of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.cubed()
>>> print(operation)
synthdef:
    name: ad344666e7f3f60edac95b1ea40c412d
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(CUBED).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).db_to_amplitude()

Converts ugen graph from decibels to amplitude.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.db_to_amplitude()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: fe82aae42b01b2b43d427cafd77c1c22
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(DB_TO_AMPLITUDE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).distort()

Distorts ugen graph non-linearly.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.distort()
>>> print(operation)
synthdef:
    name: bb632e15f448820d93b3880ad943617b
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(DISTORT).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential()

Calculates the natural exponential function of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.exponential()
>>> print(operation)
synthdef:
    name: f3b8b1036b3cceddf116c3f6a3c5a9a0
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(EXPONENTIAL).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).exponential_range(minimum=0.01, maximum=1.0)

(UGenMethodMixin).floor()

Calculates the floor of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.floor()
>>> print(operation)
synthdef:
    name: 407228cfdb74bdd79b51c425fb8a7f77
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FLOOR).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).fractional_part()

Calculates the fraction part of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.fractional_part()
>>> print(operation)
synthdef:
    name: c663d5ee6c7c5347c043727c628af658
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(FRACTIONAL_PART).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).hanning_window()

Calculates Hanning-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.hanning_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 18cb43db42ae3499f2c233e83df877fd
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HANNING_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_midi()

Converts ugen graph from Hertz to midi note number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_midi()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 227a6ae85bc89b3af939cff32f54e36a
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).hz_to_octave()

Converts ugen graph from Hertz to octave number.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.hz_to_octave()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e4fd4ca786d453fc5dfb955c63b6fbf6
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(HZ_TO_OCTAVE).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).is_equal_to(expr)

Calculates equality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_equal_to(right)
>>> print(operation)
synthdef:
    name: 8287d890708ce26adff4968d63d494a0
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).is_not_equal_to(expr)

Calculates inequality between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.is_not_equal_to(right)
>>> print(operation)
synthdef:
    name: b9f77aa86bc08a3b023d8f664afef05d
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(NOT_EQUAL).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).lag(lag_time=0.5)

Lags ugen graph.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6c3e2cc1a3d54ecfaa49d567a84eae77
    ugens:
    -   WhiteNoise.ar: null
    -   Lag.ar:
            lag_time: 0.5
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.lag(0.5)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 67098a4ddab35f6e1333a80a226bf559
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   Lag.ar/0:
            lag_time: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   Lag.ar/1:
            lag_time: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Lag.ar/2:
            lag_time: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).log()

Calculates the natural logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log()
>>> print(operation)
synthdef:
    name: 4da44dab9d935efd1cf098b4d7cec420
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log10()

Calculates the base-10 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log10()
>>> print(operation)
synthdef:
    name: 122d9333b8ac76164782d00707d3386a
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG10).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).log2()

Calculates the base-2 logarithm of ugen graph.

>>> source = supriya.ugens.DC.ar(source=0.5)
>>> operation = source.log2()
>>> print(operation)
synthdef:
    name: f956f79a387ffbeb409326046397b4dd
    ugens:
    -   DC.ar:
            source: 0.5
    -   UnaryOpUGen(LOG2).ar:
            source: DC.ar[0]

Returns ugen graph.

(UGenMethodMixin).maximum(expr)

Calculates maximum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.maximum(right)
>>> print(operation)
synthdef:
    name: dcdca07fb0439c8b4321f42803d18c32
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MAXIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).midi_to_hz()

Converts ugen graph from midi note number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.midi_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 5faaa2c74715175625d774b20952f263
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(MIDI_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).minimum(expr)

Calculates minimum between ugen graph and expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.minimum(right)
>>> print(operation)
synthdef:
    name: f80c0a7b300911e9eff0e8760f5fab18
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(MINIMUM).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).octave_to_hz()

Converts ugen graph from octave number to Hertz.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.octave_to_hz()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 04c00b0f32088eb5e4cef0549aed6d96
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(OCTAVE_TO_HZ).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).power(expr)

Raises ugen graph to the power of expr.

>>> left = supriya.ugens.SinOsc.ar()
>>> right = supriya.ugens.WhiteNoise.kr()
>>> operation = left.power(right)
>>> print(operation)
synthdef:
    name: 06d6d3fe992bff8fce9ef55db6863c2a
    ugens:
    -   SinOsc.ar:
            frequency: 440.0
            phase: 0.0
    -   WhiteNoise.kr: null
    -   BinaryOpUGen(POWER).ar:
            left: SinOsc.ar[0]
            right: WhiteNoise.kr[0]

Returns ugen graph.

(UGenMethodMixin).range(minimum=0.0, maximum=1.0)

(UGenMethodMixin).ratio_to_semitones()

Converts ugen graph from frequency ratio to semitone distance.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.ratio_to_semitones()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e23630ade4fab35fc821c190b7f33db
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(RATIO_TO_SEMITONES).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).reciprocal()

Calculates reciprocal of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.reciprocal()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 2e1c714d0def9d5c310197861d725559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECIPROCAL).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).rectangle_window()

Calculates rectangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.rectangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 0d296187bbdb205f3a283f301a5fad61
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(RECTANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).s_curve()

Calculates S-curve of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.s_curve()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 21bcaf49922e2c4124d4cadba85c00ac
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(S_CURVE).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).scale(input_minimum, input_maximum, output_minimum, output_maximum, exponential=False)

Scales ugen graph from input_minimum and input_maximum to output_minimum and output_maximum.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e2295e64ed7b9c949ec22ccdc82520e3
    ugens:
    -   WhiteNoise.ar: null
    -   MulAdd.ar:
            addend: 0.625
            multiplier: 0.125
            source: WhiteNoise.ar[0]

>>> ugen_graph = supriya.ugens.SinOsc.ar(frequency=[440, 442, 443],)
>>> result = ugen_graph.scale(-1, 1, 0.5, 0.75, exponential=True)

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 88dca305143542bd40a82d8a6a337306
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   LinExp.ar/0:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/0[0]
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   LinExp.ar/1:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/1[0]
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   LinExp.ar/2:
            input_maximum: 1.0
            input_minimum: -1.0
            output_maximum: 0.75
            output_minimum: 0.5
            source: SinOsc.ar/2[0]

(UGenMethodMixin).semitones_to_ratio()

Converts ugen graph from semitone distance to frequency ratio.

>>> ugen_graph = supriya.ugens.WhiteNoise.ar()
>>> result = ugen_graph.semitones_to_ratio()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: f77ac2c24b06f8e620817f14285c2877
    ugens:
    -   WhiteNoise.ar: null
    -   UnaryOpUGen(SEMITONES_TO_RATIO).ar:
            source: WhiteNoise.ar[0]

Returns ugen graph.

(UGenMethodMixin).sign()

Calculates sign of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sign()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 6f62abd8306dbf1aae66c09dd98203b5
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(SIGN).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).softclip()

Distorts ugen graph non-linearly.

(UGenMethodMixin).square_root()

Calculates square root of ugen graph.

(UGenMethodMixin).squared()

Calculates square of ugen graph.

(UGenMethodMixin).sum()

Sums ugen graph.

Example 1:

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: 350f2065d4edc69244399dcaff5a1ceb
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0

Example 2:

>>> ugen_graph = supriya.ugens.SinOsc.ar([440, 442, 443])
>>> result = ugen_graph.sum()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a1d26283f87b8b445db982ff0e831fb7
    ugens:
    -   SinOsc.ar/0:
            frequency: 440.0
            phase: 0.0
    -   SinOsc.ar/1:
            frequency: 442.0
            phase: 0.0
    -   SinOsc.ar/2:
            frequency: 443.0
            phase: 0.0
    -   Sum3.ar:
            input_one: SinOsc.ar/0[0]
            input_three: SinOsc.ar/2[0]
            input_two: SinOsc.ar/1[0]

Returns ugen graph.

(UGenMethodMixin).tanh()

Calculates hyperbolic tangent of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.tanh()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: e74aa9abf6e389d8ca39d2c9828d81be
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TANH).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).transpose(semitones)

Transposes ugen graph by semitones.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.transpose([0, 3, 7])

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: c481c3d42e3cfcee0267250247dab51f
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(HZ_TO_MIDI).ar:
            source: LFNoise2.ar[0]
    -   UnaryOpUGen(MIDI_TO_HZ).ar/0:
            source: UnaryOpUGen(HZ_TO_MIDI).ar[0]
    -   BinaryOpUGen(ADDITION).ar/0:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 3.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/1:
            source: BinaryOpUGen(ADDITION).ar/0[0]
    -   BinaryOpUGen(ADDITION).ar/1:
            left: UnaryOpUGen(HZ_TO_MIDI).ar[0]
            right: 7.0
    -   UnaryOpUGen(MIDI_TO_HZ).ar/2:
            source: BinaryOpUGen(ADDITION).ar/1[0]

Returns ugen graph.

(UGenMethodMixin).triangle_window()

Calculates triangle-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.triangle_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: ebb1820b9d08a639565b5090b53681db
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(TRIANGLE_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

(UGenMethodMixin).welch_window()

Calculates Welch-window of ugen graph.

>>> ugen_graph = supriya.ugens.LFNoise2.ar()
>>> result = ugen_graph.welch_window()

>>> supriya.graph(result)  

>>> print(result)
synthdef:
    name: a0a01a549a5606d9eb0026bf458e4559
    ugens:
    -   LFNoise2.ar:
            frequency: 500.0
    -   UnaryOpUGen(WELCH_WINDOW).ar:
            source: LFNoise2.ar[0]

Returns ugen graph.

---

Class & static methods

classmethod ar(duration=1.0, reset=0.0, level=1.0, done_action=0.0)

Constructs a audio-rate Duty unit generator graph.

Returns unit generator graph.

classmethod kr(duration=1.0, reset=0.0, level=1.0, done_action=0.0)

Constructs a control-rate Duty unit generator graph.

Returns unit generator graph.

---

Read-only properties

(UGen).calculation_rate

Gets calculation-rate of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.calculation_rate
CalculationRate.AUDIO

Returns calculation-rate.

done_action

Gets done_action of Duty.

Returns input.

duration

Gets duration of Duty.

Returns input.

(UGen).has_done_flag

(UGen).inputs

Gets inputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> for input_ in ugen.inputs:
...     input_
... 
WhiteNoise.kr()[0]
0.5

Returns tuple.

(UGen).is_input_ugen

(UGen).is_output_ugen

level

Gets level of Duty.

Returns input.

(UGen).outputs

Gets outputs of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.outputs
(CalculationRate.AUDIO,)

Returns tuple.

reset

Gets reset of Duty.

Returns input.

(UGen).signal_range

Gets signal range of ugen.

>>> ugen = supriya.ugens.SinOsc.ar()
>>> ugen.signal_range
SignalRange.BIPOLAR

A bipolar signal range indicates that the ugen generates signals above and below zero.

A unipolar signal range indicates that the ugen only generates signals of 0 or greater.

Returns signal range.

(UGen).special_index

Gets special index of ugen.

>>> ugen = supriya.ugens.SinOsc.ar(
...     frequency=supriya.ugens.WhiteNoise.kr(), phase=0.5,
... )
>>> ugen.special_index
0

The special index of most ugens will be 0. SuperColliders’s synth definition file format uses the special index to store the operator id for binary and unary operator ugens, and the parameter index of controls.

Returns integer.